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Filter Design

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dc.contributor.authorKim, K.-
dc.date.accessioned2023-04-27T19:40:50Z-
dc.date.available2023-04-27T19:40:50Z-
dc.date.issued2021-
dc.identifier.issn1860-4862-
dc.identifier.issn1860-4870-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/5565-
dc.description.abstractWe designed the primitive filters based on the time and frequency domain. The convolution sum operation is used to derive the time domain filter and DTFT (or DFT) is utilized to figure out the FIR filter. The IIR filter is devised from the Z-transform in the previous chapter. We already knew the simple methods to design the basic filter structures. Are these all? Did we miss something? Why we have filter design chapter after all? In general, the filter design is the part of system construction to realize the specific purpose. The target performance is achieved by the dedicated filter operation specified by the sophisticated numbers known as specifications. The previous filter designs only follow personal intuition and ambiguous number for filter implementation; hence, the constructed filter likely shows the unstable performance in overall. © 2021, Springer Nature Singapore Pte Ltd.-
dc.format.extent235-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Science and Business Media Deutschland GmbH-
dc.titleFilter Design-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.1007/978-981-15-2584-1_6-
dc.identifier.scopusid2-s2.0-85095685886-
dc.identifier.bibliographicCitationSignals and Communication Technology, pp 267 - 501-
dc.citation.titleSignals and Communication Technology-
dc.citation.startPage267-
dc.citation.endPage501-
dc.type.docTypeBook Chapter-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
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